Cover Image

DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lourenço, Afonso, Rodrigo, João, Gama, João, Marreiros, Goreti
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-context Learning of Evolving Data Streams with Tabular Foundational Models
by: Lourenço, Afonso, et al.
Published: (2025)

On-device edge learning for IoT data streams: a survey
by: Lourenço, Afonso, et al.
Published: (2025)

Image Transformation for IoT Time-Series Data: A Review
by: Altunkaya, Duygu, et al.
Published: (2023)

Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts
by: Tushir, Bhagyashri, et al.
Published: (2024)

Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints
by: Vaishnav, Shubham, et al.
Published: (2025)

An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications
by: AlShehri, Yousef, et al.
Published: (2024)

Anomaly Detection for IoT Global Connectivity
by: Iglesias, Jesus Omaña, et al.
Published: (2025)

Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks
by: Kalita, Alakesh
Published: (2024)

Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
by: Eldeeb, Eslam, et al.
Published: (2024)

A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection
by: Worae, Daniel Adu, et al.
Published: (2024)

GeMID: Generalizable Models for IoT Device Identification
by: Kostas, Kahraman, et al.
Published: (2024)

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
by: Hussain, Ahmed Mohamed, et al.
Published: (2024)

IoT Device Identification with Machine Learning: Common Pitfalls and Best Practices
by: Kostas, Kahraman, et al.
Published: (2026)

UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer
by: Zhu, Botao, et al.
Published: (2023)

IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
by: Kostas, Kahraman, et al.
Published: (2023)

Agentic Search Engine for Real-Time IoT Data
by: Elewah, Abdelrahman, et al.
Published: (2025)

Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review
by: Zaman, Khandoker Ashik Uz, et al.
Published: (2026)

Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approach
by: Alfikri, Muhammad Dany, et al.
Published: (2024)

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
by: Wang, Xubin, et al.
Published: (2025)

Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification
by: Bazaluk, Bruna, et al.
Published: (2024)

Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks
by: Giwa, Oluwaseyi, et al.
Published: (2025)

Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
by: Zheng, Bokeng, et al.
Published: (2025)

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed
by: Li, Peizheng, et al.
Published: (2024)

Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices
by: Elmir, Youssef, et al.
Published: (2025)

Optimizing Age of Trust and Throughput in Multi-Hop UAV-Aided IoT Networks
by: Luo, Yizhou, et al.
Published: (2025)

AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs
by: Zhang, Ze, et al.
Published: (2025)

Are Trees Really Green? A Detection Approach of IoT Malware Attacks
by: Sanna, Silvia Lucia, et al.
Published: (2025)

Data-Driven Random Access Optimization in Multi-Cell IoT Networks with NOMA
by: Khairy, Sami, et al.
Published: (2021)

Large Language Models for Real-World IoT Device Identification
by: Mahmood, Rameen, et al.
Published: (2025)

Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning
by: Vaishnav, Shubham, et al.
Published: (2025)

Strategic Deployment of Honeypots in Blockchain-based IoT Systems
by: Commey, Daniel, et al.
Published: (2024)

Tureis: Transformer-based Unified Resilience for IoT Devices in Smart Homes
by: Borhani, Alireza, et al.
Published: (2026)

Embodied AI-Enhanced IoMT Edge Computing: UAV Trajectory Optimization and Task Offloading with Mobility Prediction
by: Mu, Siqi, et al.
Published: (2025)

IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling
by: Zhou, Zhaomeng, et al.
Published: (2026)

The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
by: Xu, Jingyu, et al.
Published: (2024)

Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
by: Diab, Ali, et al.
Published: (2025)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
by: Silva, Miguel, et al.
Published: (2024)

Revisiting Outage for Edge Inference Systems
by: Wang, Zhanwei, et al.
Published: (2025)

Communication Traffic Characteristics Reveal an IoT Devices Identity
by: Chowdhury, Rajarshi Roy, et al.
Published: (2024)

Distributed Swarm Learning for Edge Internet of Things
by: Wang, Yue, et al.
Published: (2024)